1999
@article{SmL1999,
vgclass = {refpap},
vgproject = {cbir},
author = {John R. Smith and Chung-Sheng Li},
title = {Image Classification and Querying Using Composite Region
Templates},
journal = {Computer Vision and Image Understanding (special issue on content-based access for image
and video libraries)},
volume = {75},
number = {1/2},
pages = {165--174},
month = {July/August},
year = {1999},
url = {http://disney.ctr.columbia.edu/\~{}jrsmith/html/pubs/jcviu99.pdf},
abstract = {The tremendous growth in digital imagery is driving the
need for more sophisticated methods for automatic image analysis,
cataloging, and searching. We present a method for classifying and
querying images based on the spatial orderings of regions or objects
using composite region templates (CRTs). The CRTs capture the spatial
information statistically and provide a robust way to measure
similarity in the presence of region insertions, deletions,
substitutions, replications, and relocations. The CRTs can be used for
classifying and annotating images by assigning symbols to the regions
or objects and by extracting symbol strings from spatial scans of the
images. The symbol strings can be decoded using a library of annotated
CRTs to automatically label and classify the images. The CRTs can also
be used for searching by sketch or example by measuring image
similarity based on relative counts of the CRTs.},
}